Triple
T10807580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saha |
E255007
|
entity |
| Predicate | hasNotableAssociationWithField |
P43975
|
FINISHED |
| Object | astrophysics |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: astrophysics | Statement: [Saha, hasNotableAssociationWithField, astrophysics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableAssociationWithField Context triple: [Saha, hasNotableAssociationWithField, astrophysics]
-
A.
hasNotableFieldOfDescendant
Indicates that an entity is associated with a notable field or area of expertise specifically through one or more of its descendants.
-
B.
notableField
Indicates the field, discipline, or area of activity for which an entity is especially known or distinguished.
-
C.
hasNotableConnectionTo
chosen
Indicates a significant or noteworthy relationship, association, or link exists between two entities.
-
D.
hasNotableAffiliation
Indicates that an entity is significantly associated or connected with another entity, such as an organization, group, or institution, in a way that is noteworthy or distinguished.
-
E.
hasNotableProfessionField
Indicates that an entity’s notable profession or occupation belongs to a particular professional field or domain.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b506488190921e6a1f4168dd9e |
completed | April 9, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:18 p.m.